class_docstr: Feature Extractor is proposed in  FAN Ref [1]
  
  Ref [1]: Focusing Attention: Towards Accurate Text Recognition in Neural Images ICCV-2017
class_docstr_tok: ["Feature","Extractor","is","proposed","in","FAN","Ref","[","1","]","Ref","[","1","]",":","Focusing","Attention",":","Towards","Accurate","Text","Recognition","in","Neural","Images","ICCV-2017"]
docstr: Args:
      inputs: input feature
  
  Returns:
      output feature
docstr_tok: ["Args",":","inputs",":","input","feature","Returns",":","output","feature"]
code: def forward(self, inputs):
      """
      Args:
          inputs: input feature
  
      Returns:
          output feature
  
      """
      return self.ConvNet(inputs)
  
file_path: PaddleOCR/ppocr/modeling/backbones/rec_resnet_32.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle.nn
label_desc: Use image node_id 2 for calling the ResNet32 obj's underlying member method code with example usage: obj.forward(inputs) and returns: self